Important Microsoft AB-620 Exam Questions

Answer: B, C

Explanation:

Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The connector action's retry policy should be set to None when the business requirement explicitly says not to retry automatically. Otherwise, platform retries can repeat a non-idempotent operation or delay the controlled failure path. The notification action must then use Configure run after so it executes when the connector action fails or times out and can include the available error details. This combination directly addresses the three requirements: explicit failure and timeout handling, continuation into the notification branch, and no automatic retry. A scope can be valuable for grouping a try block and evaluating its aggregate result, but grouping alone does not disable retries or define the notification's run-after conditions. Increasing the timeout changes how long the action waits and can make recovery slower without handling the error. The flow should also end with a deliberate final status, avoid exposing secrets in the notification, and distinguish transient dependency errors from validation failures. If the external operation is non-idempotent, a correlation or idempotency key should be used to prevent duplicate effects when an administrator later resubmits the run manually. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Implement error handling in agent flows.

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Answer: A

Explanation:

Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Selecting Authenticate with Microsoft restricts the agent to signed-in organizational identities in the supported Microsoft channel and enables the agent to be shared with controlled users in the tenant. That meets the requirement for internal employees and enforced end-user authentication. No authentication or a public website would allow anyone with access to the link to converse with the agent and would prevent reliable organizational access control. A personal-account setting is not the enterprise identity model required here. Authentication and authorization are related but separate: after choosing Microsoft authentication, the owner must still share the agent only with the intended employees or groups and ensure connected knowledge and tools apply the user's permissions correctly. If the deployment uses a channel that requires manual Entra ID configuration, the appropriate manual authentication and sign-in requirement may be needed instead; however, among the supplied choices, Authenticate with Microsoft is the correct control. Test with authorized, unauthorized, and signed-out users before release, and review any DLP policy that mandates authentication. Study Guide alignment: Plan and configure agent solutions > Plan an agent solution > Plan identity strategy; Design agents for internal audiences.

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Answer: B

Explanation:

Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A Fabric Data Agent is the capability designed for questions that must be answered from governed analytical data. Fabrikam's backlog, SLA-risk, parts-shortage, and dispatch-delay measures already reside behind a Fabric semantic model, so delegating these requests to the data agent preserves the business definitions, relationships, and security applied in Fabric. The result can be returned in a structured form suitable for weekly operational review rather than being estimated from general model knowledge. A Foundry agent is already assigned to summarization and classification of long-form text; it is not the authoritative source for operational KPIs. An MCP server is appropriate when the user must perform a transaction, such as creating a parts request, but the question asks for performance information rather than an update. Azure AI Search supports document retrieval for policies and procedures, not calculation over the Fabric semantic model. The primary agent's description for the Fabric specialist should explicitly mention the supported metrics so generative orchestration consistently delegates those requests instead of attempting an unsupported generative answer. Study Guide alignment: Integrate and extend agents in Copilot Studio > Configure multi-agent collaboration from Copilot Studio > Integrate a Fabric data agent.

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Answer: B

Explanation:

Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Retrying the failing action without an error-handling branch does not meet either stated requirement. The flow can still exhaust its retries and terminate without notifying anyone, and repeated calls may be dangerous if the external operation is not idempotent. A controlled design configures run-after conditions so a notification or handling scope executes on failure and timeout, captures an appropriate error message or correlation identifier, and then terminates or continues intentionally. Retry policy is a separate resilience choice. It can help with transient failures when the operation is safe to repeat, but it is not a substitute for handling the final failure. The number, interval, and backoff should be bounded, and non-idempotent requests should use a deduplication mechanism or disable retries. Administrators need enough diagnostic context to locate the failed run without receiving secrets or sensitive payloads. Because the proposed solution only retries, the correct assessment is No. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Implement error handling in agent flows.

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Answer: A

Explanation:

Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The first configuration check is the contract between the agent and the flow. Input and output parameter definitions must agree on name, data type, required status, and mapping. A flow can complete successfully yet return an empty value to the agent if the response field is not mapped to the declared output or if the agent expects a different type. Validating the parameter definitions therefore addresses the actual data-exchange requirement. Reviewing run history is useful for diagnosis, but it does not correct a mismatched contract by itself. Changing the trigger schema or adding Parse JSON might be necessary in a specific implementation, yet neither should be done before confirming what the caller sends and what the flow returns. Republishing cannot repair an incorrect mapping. The builder should test the flow directly with known values, inspect each action output, verify the final response action, and then test from the agent. Optional and null fields should be handled explicitly, and sensitive outputs should be minimized and protected in logs. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Add input and output parameters.

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